Product Details

Artificial Intelligence with Python

Build Real-World AI Applications with Python

Description

Artificial Intelligence is especially relevant in today’s technology and data-driven world. It’s used in search engines, image recognition, robotics, finance, and many other industries. In this book, you’ll explore various real-world scenarios while learning about various algorithms that can be used to build AI applications. Starting out from the basics of AI, you’ll learn how to develop various building blocks using different data mining techniques before delving into more advanced subjects.

Access 446 pages of digital content 24/7

Explore different classification & regression techniques

Understand the concept of clustering & how to use it to automatically segment data

See how to build an intelligent recommender system

Discover logic programming & how to use it

Build automatic speech recognition systems

Understand the basics of heuristic search & genetic programming

Develop games using Artificial Intelligence

Learn how reinforcement learning works

Discover how to build intelligent applications centered on images, text, & time series data

See how to use deep learning algorithms & build applications based on them

Specs

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming, mobile streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels

Compatibility

Internet required

Instructor

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 4,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

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Content

2 hours

Lessons

20

Getting Started with Java Deep Learning

Get the Essential Know-How on Working with Deep Learning Algorithms Using Java

Description

AI and deep learning are transforming the way we understand software, making computers more intelligent than we could imagine even a decade ago. Deep learning algorithms are being used across a broad range of industries to produce hardware like self-driving cars, personal assistant computers, and decision support systems. As the fundamental driver of AI, Java is becoming a more vital and valuable skill in the global economy, and this course will introduce you to using Java for deep learning.

Access 20 lectures & 2 hours of content 24/7

Install the environment precisely

Use the DL4J & apply deep learning to a range of real-world use cases

Get an introduction to neural networks & implementing them

Learn about various deep learning algorithms

Tune Apache Spark

Specs

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming, mobile streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels

Compatibility

Internet required

Instructor

Sercan Karaoglu gained his BSc in Mathematics Engineering at Istanbul Technical University. Karaoglu also completed a Research and Development project at age 23, at Foreks, in collaboration with The Scientific and Technological Research Council of Turkey(TUBITAK). This project was related to the application of Artificial Neural Networks in Financial Trading Decision Support Systems and Market Simulation for Intraday and Daily Trading.

Currently, he develops High Throughput-Low Latency Reactive Microservices and Reactive Stream applications at work and researches the topics of Deep Learning and Machine Learning. He is Java Software Engineer at the Dissemination Department of Foreks Information Systems, which is one of the leading IT companies in Turkey’s financial sector. It has specialized in software that is directly integrated with financial professionals and Istanbul Stock Market for over 26 years.

He is currently studying for his MSc in Computer Engineering at Bahcesehir University in the field of Big Data Analytics and Management.

Java Deep Learning Essentials

Dive Into the Future of Data Science

Description

AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Starting with an introduction to basic machine learning algorithms, this course takes you further into this vital world of stunning predictive insights and remarkable machine intelligence.

Gain an insight into the deep learning library DL4J & its practical uses

Get to know device strategies to use deep learning algorithms & libraries in the real world

Explore deep learning further w/ Theano & Caffe

Specs

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming, mobile streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels

Compatibility

Internet required

Instructor

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Deep Learning with TensorFlow eBook

Description

Deep learning is the step that comes after machine learning, and has more advanced implementations. Throughout this book, you’ll learn how to implement deep learning algorithms for machine learning systems and integrate them into your product offerings, including search, image recognition, and language processing. After finishing the book, you’ll be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning.

Access 320 pages of digital content 24/7

Learn about machine learning landscapes along w/ the historical development & progress of deep learning

Instructor

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 4,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Access

Lifetime

Content

2 hours

Lessons

22

Deep Learning with TensorFlow

Discover One of the Newest & Most Useful Tools for Deep Learning

Description

Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models, and is one of the most important new frontiers in technology. TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. Over this course you’ll explore some of the possibilities of deep learning, and how to use TensorFlow to process data more effectively than ever.

Access 22 lectures & 2 hours of content 24/7

Discover the efficiency & simplicity of TensorFlow

Process & change how you look at data

Sift for hidden layers of abstraction using raw data

Train your machine to craft new features to make sense of deeper layers of data

Instructor

Dan Van Boxel is a Data Scientist and Machine Learning Engineer with over 10 years of experience. He is most well-known for “Dan Does Data,” a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research and presented findings at the Transportation Research Board and other academic journals.

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Lifetime

Content

4 hours

Lessons

35

Deep Learning with R

Description

In this course, you’ll examine in detail the R programming language, the most popular statistical programming language in the world today. You’ll start by exploring different learning methods, clustering, classification, model evaluation methods and performance metrics. As you progress to more advanced subjects, you’ll develop the skills necessary to perform a variety of tasks with R.

Access 35 lectures & 4 hours of content 24/7

Delve into the general structure of clustering algorithms

Develop applications in the R environment by using clustering & classification algorithms for real-life problems

Instructor

Olgun is PhD candidate at Department of Statistics, Mimar Sinan University. He has been working on Deep Learning for his PhD thesis. Also working as Data Scientist.He is so familiar with Big Data technologies like Hadoop, Spark and able to use Hive, Impala. He is a big fan of R. Also he really loves to work with Shiny, SparkR.He has many academic papers and proceedings about applications of statistics on different disciplines. Mr. Olgun really loves statistic and loves to investigate new methods, share his experience with people.

Access

Lifetime

Content

2 hours

Lessons

19

Deep Learning with Python

Answer Big Data Questions by Learning How to Master Neural Networks

Description

You’ve seen deep learning everywhere, but you may not have realized it. This discipline is one of the leading solutions for image recognition, speech recognition, object recognition, and language translation – basically the tools you see Google roll out every day. Over this course, you’ll use Python to expand your deep learning knowledge to cover backpropagation and its ability to train neural networks.

Instructor

Eder Santana is a PhD candidate in Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras: Deep Learning Library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant.

Python Deep Learning

Take Your Machine Learning Skills to the Next Level

Description

With increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries. This book will give you a practical introduction to AI, including best practices using real-world use cases. You’ll learn to recognize and extract information to increase predictive accuracy and optimize results.

Access 406 pages of digital content 24/7

Get a practical deep dive into deep learning algorithms

Explore deep learning further with Theano, Caffe, Keras, & TensorFlow

Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders & Restricted Boltzmann Machines

Get to know device strategies so you can use deep learning algorithms & libraries in the real world

Specs

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming, mobile streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels

Compatibility

Internet required

Instructor

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 4,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Deep Learning with Keras

Get to Grips with the Basics of Keras to Implement Fast & Efficient Deep Learning Models

Description

This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer peceptron, and more sophisticated deep convolutional networks. You’ll also explore image processing, Recurrent Networks, and unsupervised learning algorithms such as Autoencoders. Finally, you’ll take a look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks.

Access 318 pages of digital content 24/7

Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm

Instructor

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 4,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Deep Learning with Hadoop

Description

This book will teach you how to deploy large-scale datasets in deep neural networks with Hadoop for optimal performance. Starting with an introduction to deep learning, you’ll learn how to set up a Hadoop envrionment and implement a variety of deep learning models. By the end of the book, you’ll know how to deploy various deep neural networks in distributed systems using Hadoop.

Access 206 pages of digital content 24/7

Explore deep learning & various models associated w/ it

Understand the challenges of implementing distributed deep learning w/ Hadoop & how to overcome it

Instructor

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 4,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Terms

Unredeemed licenses can be returned for store credit within 15 days of purchase. Once your license is redeemed, all sales are final.